Install¶

Featuretools is available for Python 3.6, 3.7, and 3.8. The recommended way to install Featuretools is using pip or conda:

python -m pip install featuretools

or from the Conda-forge channel on anaconda.org:

conda install -c conda-forge featuretools

Add-ons¶

You can install add-ons individually or all at once by running:

python -m pip install featuretools[complete]

Update checker:

Receive automatic notifications of new Featuretools releases:

python -m pip install featuretools[update_checker]

TSFresh Primitives:

Use 60+ primitives from tsfresh in Featuretools:

python -m pip install featuretools[tsfresh]

Categorical Encoding:

Encode categorical data for integration into Featuretools/machine learning workflows:

python -m pip install featuretools[categorical_encoding]

NLP Primitives:

Use Natural Language Processing Primitives for data with text in Featuretools:

python -m pip install featuretools[nlp_primitives]

AutoNormalize:

Automated creation of normalized EntitySet from denormalized data:

python -m pip install featuretools[autonormalize]

Featuretools Sklearn Transformer:

Deep Feature Synthesis as a scikit-learn pipelines transformer

python -m pip install featuretools[sklearn_transformer]

In order to use EntitySet.plot you will need to install the graphviz library.

Conda users:

conda install python-graphviz

Ubuntu:

sudo apt-get install graphviz
pip install graphviz

Mac OS:

brew install graphviz
pip install graphviz

Windows:

conda install python-graphviz

To install featuretools from source, clone the repository from github:

git clone https://github.com/FeatureLabs/featuretools.git
cd featuretools
python setup.py install

or use pip locally if you want to install all dependencies as well:

pip install .

You can view the list of all dependencies within the extras_require field of setup.py.

Before making contributing to the codebase, please follow the guidelines here

We recommend developing in a virtualenv:

mkvirtualenv featuretools

Run:

make installdeps

Note

In order to the run the featuretools tests you will need to have graphviz installed as described above.

Run featuretools tests:

make test

Before committing make sure to run linting in order to pass CI:

make lint

Some linting errors can be automatically fixed by running the command below:

make lint-fix

Build the docs with the commands below:

cd docs/

# small changes
make html

# rebuild from scatch
make clean html

Note

The Featuretools library must be import-able to build the docs.